@InProceedings{SousaMareMacaZou:2020:NoWeTi,
               author = "Sousa, Natanael Vieira de and Marengo, Jos{\'e} Ant{\^o}nio and 
                         Macau, Elbert Einstein Nehrer and Zou, Yong",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal 
                         de S{\~a}o Paulo (UNIFESP)} and {East China Federal University}",
                title = "Non-linear weather time series explain why the drougth period 
                         length 2011 at coast north NEB and semi-arid region NEB are 
                         different?",
            booktitle = "Resumos.../P{\^o}steres",
                 year = "2020",
               editor = "Galetti, Giovana Deponte and Sena, Caio {\'A}tila Pereira and 
                         Mand{\'u}, Tiago Bentes and Jacondino, William Duarte and Alves, 
                         Laurizio Emanuel Ribeiro and Afonso, Eliseu Oliveira Afonso",
         organization = "Encontro dos Alunos de P{\'o}s-Gradua{\c{c}}{\~a}o em 
                         Meteorologia do CPTEC/INPE, 19. (EPGMET)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Complexnet, Drougth period length, Northeast Brazil, Rainy season, 
                         Teleconnections.",
             abstract = "The NEB region has rainy season depending on teleconnections such 
                         as NINO/NINA, Madden-Julian Oscillation and others weather systems 
                         (e.g. ITCZ). These weather factors are forced by sea temperature 
                         surface, sea level pressure, long wave radiation, relativity 
                         humidity and others variables. The goal of this work is 
                         development of time series analysis techniques with spatial 
                         distribution based on the complex networks formalism with 
                         applications for understanding episodes of droughts period length 
                         (DPL) in Coast North-Northeast Brazil (NEB) and semi-arid region 
                         NEB at 2011. Data: The study period is since 01/01/2011 until 
                         12/31/2011. Time series rainfall daily was obtained by GPCP data 
                         base 0.5 degree resolution nat average {\'a}rea as box 2S-9S, 
                         45W-30W. To SST [0.25 d.r.] and SLP [2.5 d.r.]. were applied at 
                         average NINO 3.4 region 5N-5S, 120-170W. Tropical North Atlantic 
                         SST averaged over the domain 6-22N and 80-15W, to South Atlantic 
                         SST average 25S-2N and 35W-10E. Relativity Humidity [2.5 d.r.] 
                         area between 40-20W, 15S- 1S. Long Wave Radiation anomaly 
                         Hovmoller diagram [1 d.r.] 5N-5S , 20E-120W, in 20-70 days. 
                         Methods: First to SPL and after other variables: get the 
                         differrentiated series deltaSPL = SPL (t+1) - SPL (t); SPL will be 
                         in phase increase is deltaSPL is positive, in contrast SPL will be 
                         in phase decrease if deltaSPL is negative, i.e., increase (or 
                         decrease) trends in sea level pressure averaged over a one-month M 
                         window time. To quantify the changes in spatial difference will 
                         use r(m,d), r(d) season metric (ave: Feb., Mar., Apr., May.), were 
                         used too r(m,s) to drougth period. As conclusions of this 
                         research, the authors wait to get the triggers to DPL based in 
                         metorological explications about teleconnections and ITCZ (cause 
                         and effect) at rainy season in study regions: Coast NNEB and a 
                         central point at semi-arid region (Quixeramobim-CE, 5.29S and 
                         39.40S ).",
  conference-location = "Online",
      conference-year = "16-19 nov. 2020",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGPDW34R/43MDAUB",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34R/43MDAUB",
           targetfile = "GT1_NATANAEL.SOUSA.TRAB1 - Natanael Sousa(1).pdf",
                 type = "Estudos e Modelagem do Tempo e Clima",
        urlaccessdate = "09 maio 2024"
}